Software energy optimization through fine-grained function-level voltage and frequency scaling

Authors:
Carlo Brandolese;William Fornaciari
Affiliations:
Politecnico di Milano, MILANO, Italy;Politecnico di Milano, Milano, Italy
Venue:
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Year:
2012

Citing 3
Cited 1

Energy-efficient design of battery-powered embedded systems

IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Multi-objective design space exploration of embedded systems

Journal of Embedded Computing - Low-power Embedded Systems
Software energy estimation based on statistical characterization of intermediate compilation code

Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design

The COMPLEX reference framework for HW/SW co-design and power management supporting platform-based design-space exploration

Microprocessors & Microsystems

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Abstract

This paper presents a methodology and a toolchain to perform estimation and optimization of the energy consumption associated to software execution on tiny embedded systems. The estimation phase is based on an ISA-level characterization of the target processor, while the optimization phase is made combining the estimation process with design space exploration in order to exploit fine-grained dynamic voltage and frequency scaling. The proposed approach operates at compile-time, with the granularity of single C functions and almost automatically augments the source code.